iTunes 应用组件 v2.1.17
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[.iTunes.应用组件].Tagtraum.Industries.beaTunes.v2.1.15.Multilingual.Incl.Keyma … | 36.91MB | |
[iTunes.应用组件].Tagtraum.Industries.beaTunes.v2.1.17.Multilingual.Incl.Keymak … | 36.85MB | |
中文名: iTunes 应用组件英文名: Tagtraum Industries beaTunes资源格式: 压缩包版本: v2.1.17发行时间: 2011年制作发行: tagtraum industries incorporated地区: 美国语言: 英文简介:
BeaTunes 是一款具有自动地分析你的音乐收藏以帮助你创建更好的播放列表功能的 iTunes 应用组件。该软件可以分析 BPM(每分钟的节拍),歌曲开头和结尾静音以及彩色(根据音频光谱)显示给出的歌曲。一些数据通过 iTunes 存储,而一些通过 beaTunes 自身存储。此外,beaTunes 可以建议可以补充你的音乐收藏的专辑,显示音乐图表以及帮助你纠正印刷错误,错误流派等等。该软件还允许你博客有关选择的歌曲或者播放列表。
What started out as a BPM detection tool for DJs, runners and dancers, has become one of the finest iTunes™ library management tools around. beaTunes’ powerful inspection feature let’s you clean up your iTunes track data in a way unrivaled by any other software on the market today. Easily find typos or different spellings of artists’ names, automatically fill in the album artist names, and much more. No more R.E.M. and REM in your iPod’s artist list! beaTunes can even help you to find the titles of tracks that have no artist or title associated with them. And once you have a clean collection, the built-in playlist generator works even better.
Here are some more examples of what you can do with beaTunes:
• Automatically determine BPM (beats per minute) and store the result in iTunes
• Manually determine BPM and store the result in iTunes
• Inspect and fix your music library (typos, wrong genre etc.)
• Sort existing playlists so that matching songs succeed each other
• Create matchlists, i.e. playlists based on one or more sample songs
• Browse songs from your music collection that match the currently selected song
• Discover albums that aren’t in your music collection, but would complement it
• Keep up to date through Amazon™ album charts
• Automatically set start and end times of songs based on their volume
• Categorize songs by their sound color
• Build playlists per drag and drop
• Create blog entries on blogger.com with your favorite playlist or songs
• Add del.icio.us like tags to your songs
• Look up track metadata using acoustic fingerprints
• Detect the language of lyrics already stored in iTunes
System Requirements
Windows
2GHz Pentium 4 or faster
1GB RAM
Windows XP/Vista/Windows7
iTunes 9.0.2
Java = 6 Update 16, 32 Bit (provided with JRE)
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